Schema | parliamentary-nlp-mcp

parliamentary-nlp-mcp

Overview Schema Related Servers Score Discussions

Server Configuration

Describes the environment variables required to run the server.

Name	Required	Description	Default
`HF_TOKEN`	No	Hugging Face token. Only required if the model checkpoint is private.
`PARLIAMENTARY_NLP_MODEL_ID`	No	Hugging Face model identifier. Overrides the default model checkpoint.	alissonf216/parliamentary-bertimbau-auditor

Instructions

Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.

This server publishes no instructions, or was last inspected before Glama recorded them.

Capabilities

Features and capabilities supported by this server

Protocol revision2025-11-25

Capability	Details
`tools`	{ "listChanged": false }
`prompts`	{ "listChanged": false }
`resources`	{ "subscribe": false, "listChanged": false }
`experimental`	{}

Tools

Functions exposed to the LLM to take actions

Name Description

Name	Description
audit_parliamentary_speechA	Audit Portuguese parliamentary or political speech for offensive content. Use this tool whenever a user asks you to analyse, moderate, classify, or safety-check political / legislative discourse in Portuguese (PT-BR), including floor speeches, committee interventions, social-media posts by elected officials, and campaign rhetoric. The underlying BERTimbau-based classifier estimates: Predominant category (neutral vs. offense / hate-speech tiers) Softmax confidence for the top class Shannon-entropy uncertainty; high entropy (`> 0.60`) sets `requires_human_review=True` so borderline cases can be escalated Args: text: Raw Portuguese utterance or transcript excerpt to audit. Returns: Structured audit dictionary with `classification`, `confidence`, `entropy_uncertainty`, `class_probabilities`, and `requires_human_review`.

audit_parliamentary_speechA

Audit Portuguese parliamentary or political speech for offensive content.

Use this tool whenever a user asks you to analyse, moderate, classify, or safety-check political / legislative discourse in Portuguese (PT-BR), including floor speeches, committee interventions, social-media posts by elected officials, and campaign rhetoric.

The underlying BERTimbau-based classifier estimates:

Predominant category (neutral vs. offense / hate-speech tiers)
Softmax confidence for the top class
Shannon-entropy uncertainty; high entropy (> 0.60) sets requires_human_review=True so borderline cases can be escalated

Args: text: Raw Portuguese utterance or transcript excerpt to audit.

Returns: Structured audit dictionary with classification, confidence, entropy_uncertainty, class_probabilities, and requires_human_review.

Prompts

Interactive templates invoked by user choice

Name	Description
No prompts

Resources

Contextual data attached and managed by the client

Name	Description
No resources

Server Configuration
Instructions
Capabilities
Tools
Prompts
Resources

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